Wenxin Hu

Orcid: 0009-0002-7887-8502

According to our database1, Wenxin Hu authored at least 60 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Can Large Language Models Recall Reference Location Like Humans?
CoRR, 2024

A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Personality-assisted mood modeling with historical reviews for sentiment classification.
Inf. Sci., November, 2023

SMAR: Summary-Aware Multi-Aspect Recommendation.
Neurocomputing, October, 2023

Real-time localization and 3D semantic map reconstruction for unstructured citrus orchards.
Comput. Electron. Agric., October, 2023

Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method.
Sensors, 2023

PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation.
CoRR, 2023

Detection and Localization of False Data Injection Attacks in Smart Grid Based on Joint Maximum a Posteriori-Maximum Likelihood.
IEEE Access, 2023

A Two-stage Abdominal Lymph Node Detection Algorithm Based on Multi-scale 2.5D Input.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Research on Prediction of Pan-Cancer Immune Checkpoint Blockade Based on Multi-Head Self-Attention Classification Model.
Proceedings of the 2023 4th International Conference on Computing, 2023

Multi-scale 2.5D Integrated Model for False Positive Reduction in Abdominal Lymph Node Detection.
Proceedings of the 2023 4th International Conference on Computing, 2023

2022
DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender.
Knowl. Based Syst., 2022

SENGR: Sentiment-Enhanced Neural Graph Recommender.
Inf. Sci., 2022

C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation.
CoRR, 2022

Prediction of lymph node metastasis in CT based on multi-scale attention fully convolutional network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

MTN-Net: A Multi-Task Network for Detection and Segmentation of Thyroid Nodules in Ultrasound Images.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Unexp-DIN: Unexpected Deep Interest Network for Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Denoising fMRI Message on Population Graph for Multi-site Disease Prediction.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Knowledge-Enhanced Multi-task Learning for Course Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

Lattice based Ring Signature Scheme for Secure Cloud-based EMR Sharing.
Proceedings of the 7th International Conference on Computer and Communication Systems, 2022

2021
A New Pattern Quality Assessment Criterion and Defocusing Degree Determination of Laser Speckle Correlation Method.
Sensors, 2021

A Fringe Phase Extraction Method Based on Neural Network.
Sensors, 2021

A hybrid deep generative neural model for financial report generation.
Knowl. Based Syst., 2021

Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform.
Proceedings of the 2021 IEEE International Conference on Engineering, 2021

Attention Guided Filter for Jointly Extracting Entities and Classifying Relations.
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

SSR: Explainable Session-based Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021

LSTMVAEF: Vivid Layout via LSTM-Based Variational Autoencoder Framework.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

LGACN: A Light Graph Adaptive Convolution Network for Collaborative Filtering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Domain Adaptation using NDWI index for Water-land Semantic Segmentation.
Proceedings of the BDE 2021: The 3rd International Conference on Big Data Engineering, Shanghai, China, May 29, 2021

GC-UNet: An Improved UNet Model for Mangrove Segmentation Using Landsat8.
Proceedings of the BDE 2021: The 3rd International Conference on Big Data Engineering, Shanghai, China, May 29, 2021

2020
Two-stage sentiment classification based on user-product interactive information.
Knowl. Based Syst., 2020

Counting crowds with varying densities via adaptive scenario discovery framework.
Neurocomputing, 2020

Generating Financial Reports from Macro News via Multiple Edits Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

CPSPNet: Crowd Counting via Semantic Segmentation Framework.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Few-Shot Learning for Medical Image Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Improving relation extraction by multi-task learning.
Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020

Fachanwendung für digitale Modulkataloge.
Proceedings of the 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September, 2020

Adaptive Weighted Loss Makes Brain Tumors Segmentation More Accurate in 3D MRI Volume.
Proceedings of the BDE 2020: 2nd International Conference on Big Data Engineering, 2020

Demographic Prediction Based on User's Movie-Watching Behavior.
Proceedings of the BDE 2020: 2nd International Conference on Big Data Engineering, 2020

Using 3D Convolutional Networks with Shortcut Connections for Improved Lung Nodules Classification.
Proceedings of the BDE 2020: 2nd International Conference on Big Data Engineering, 2020

Research and Construction of the Innovation and Entrepreneurship Collaborative Education Pattern of Design Discipline.
Proceedings of the Advances in Creativity, Innovation, Entrepreneurship and Communication of Design, 2020

2019
Automatically Generating Macro Research Reports from a Piece of News.
CoRR, 2019

Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Chinese Clinical Named Entity Recognition with Word-Level Information Incorporating Dictionaries.
Proceedings of the International Joint Conference on Neural Networks, 2019

Cascaded Detail-Preserving Networks for Super-Resolution of Document Images.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Pre-Trained BERT-GRU Model for Relation Extraction.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

Adaptive Scenario Discovery for Crowd Counting.
Proceedings of the IEEE International Conference on Acoustics, 2019

Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling.
Proceedings of the Database Systems for Advanced Applications, 2019

Multi-component Infrastructure for e-Lectures - A Viable Solution for Small and Medium-Sized Organizations.
Proceedings of the Perspectives in Business Informatics Research, 2019

Parallel architecture design of genetic algorithms on HPC platform.
Proceedings of the ACM Turing Celebration Conference - China, 2019

Optimize SPL test cases with adaptive simulated annealing genetic algorithm.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Efficient Strategy for the Calculation of Solvation Free Energies in Water and Chloroform at the Quantum Mechanical/Molecular Mechanical Level.
J. Chem. Inf. Model., October, 2017

Face recognition with improved deep belief networks.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
Feature Selection in Click-Through Rate Prediction Based on Gradient Boosting.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2015
Wavelet Domain Digital Watermarking Algorithm Based on Threshold Classification.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015


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